Alternatives and similar repositories for cifar2png:

Users that are interested in cifar2png are comparing it to the libraries listed below

• PatrykChrabaszcz / Imagenet32_Scripts
  Scripts for Imagenet 32 dataset
  ☆150Updated 3 years ago
• hendrycks / imagenet-r
  ImageNet-R(endition) and DeepAugment (ICCV 2021)
  ☆261Updated 3 years ago
• tonylins / simclr-converter
  A PyTorch converter for SimCLR checkpoints
  ☆108Updated 4 years ago
• google-research / task_adaptation
  ☆317Updated 11 months ago
• modestyachts / ImageNetV2
  A new test set for ImageNet
  ☆246Updated last year
• TDeVries / cub2011_dataset
  PyTorch dataset for CUB-200-2011
  ☆55Updated 2 years ago
• MadryLab / backgrounds_challenge
  ☆140Updated 4 years ago
• tjmoon0104 / pytorch-tiny-imagenet
  pytorch-tiny-imagenet
  ☆170Updated last year
• moskomule / dda
  Differentiable Data Augmentation Library
  ☆122Updated 2 years ago
• BayesWatch / cinic-10
  A drop-in replacement for CIFAR-10.
  ☆239Updated 3 years ago
• hendrycks / ss-ood
  Self-Supervised Learning for OOD Detection (NeurIPS 2019)
  ☆266Updated 3 years ago
• google-research / reassessed-imagenet
  Labels and other data for the paper "Are we done with ImageNet?"
  ☆189Updated 3 years ago
• Separius / SimCLRv2-Pytorch
  Pretrained SimCLRv2 models in Pytorch
  ☆104Updated 4 years ago
• rmccorm4 / Tiny-Imagenet-200
  🔬 Some personal research code on analyzing CNNs. Started with a thorough exploration of Stanford's Tiny-Imagenet-200 dataset.
  ☆100Updated 5 years ago
• kibok90 / iccv2019-inc
  ICCV 2019 Overcoming Catastrophic Forgetting with Unlabeled Data in the Wild
  ☆79Updated 2 years ago
• yaox12 / BYOL-PyTorch
  PyTorch implementation of "Bootstrap Your Own Latent: A New Approach to Self-Supervised Learning" with DDP and Apex AMP
  ☆80Updated 4 years ago
• facebookresearch / Adversarial-Continual-Learning
  Implementation for the paper "Adversarial Continual Learning" in PyTorch.
  ☆254Updated last year
• modestyachts / imagenet-testbed
  ImageNet Testbed, associated with the paper "Measuring Robustness to Natural Distribution Shifts in Image Classification."
  ☆117Updated last year
• kakaobrain / torchlars
  A LARS implementation in PyTorch
  ☆341Updated 4 years ago
• tyler-hayes / REMIND
  PyTorch implementation of the REMIND method from our ECCV-2020 paper "REMIND Your Neural Network to Prevent Catastrophic Forgetting"
  ☆82Updated last year
• lvyilin / pytorch-fgvc-dataset
  PyTorch custom dataset APIs -- CUB-200-2011, Stanford Dogs, Stanford Cars, FGVC Aircraft, NABirds, Tiny ImageNet, iNaturalist2017
  ☆154Updated 2 years ago
• facebookresearch / odin
  A simple and effective method for detecting out-of-distribution images in neural networks.
  ☆537Updated 3 years ago
• AndrewAtanov / simclr-pytorch
  PyTorch implementation of SimCLR: supports multi-GPU training and closely reproduces results
  ☆199Updated 9 months ago
• pokaxpoka / deep_Mahalanobis_detector
  Code for the paper "A Simple Unified Framework for Detecting Out-of-Distribution Samples and Adversarial Attacks".
  ☆343Updated 5 years ago
• hendrycks / error-detection
  A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural Networks
  ☆226Updated 6 years ago
• drimpossible / GDumb
  Simplified code for our paper "GDumb: A Simple Approach that Questions Our Progress in Continual Learning". Easily extensible to various …
  ☆91Updated last year
• allenai / hidden-networks
  ☆187Updated 4 years ago
• LayneH / self-adaptive-training
  [TPAMI2022 & NeurIPS2020] Official implementation of Self-Adaptive Training
  ☆129Updated 3 years ago
• feidfoe / learning-not-to-learn
  [CVPR2019]Learning Not to Learn : An adversarial method to train deep neural networks with biased data
  ☆111Updated 4 years ago
• namhoonlee / snip-public
  SNIP: SINGLE-SHOT NETWORK PRUNING BASED ON CONNECTION SENSITIVITY
  ☆112Updated 5 years ago